WEEK+11

Web 3.0 is a new, still under experiment, version of the web. Similar to Web 2.0, users will have the ability to search something. Within a matter of seconds, results for that specific search are generated. Even though the process is very similar, the difference between Web 2.0 and Web 3.0 is that, in Web2.0, the user has to spend time looking through the results for the appropriate link that fulfills their need of the search. On the other hand, Web 3.0 will be able to generate much more accurate results, fulfilling the users search, in a more time effective and content efficient manner. Twine, definitely fulfills the description as Web 3.0 and illustrates the process in a simple manner. Under the Technological Trends section, a user had typed in a very specific question, and the first answer that showed up, answered the question in a short, precise manner, without any irrelevant information added and no advertisements included. Furthermore, when I searched ‘London, Paris and Amsterdam’ I only got results that were directed to those cities, the hot spots, living arrangement, flights and to those destinations. When I conducted the same search in //Google//, the results included, Europe and Asia travel websites, cheap flights to places all over the United States and Europe, vacation packages to other destinations as well, and a lot more irrelevant information which made it very hard for me to search for information about these three locations in a quick manner. Like mentioned above one of the main features that embrace the idea of Web 3.0 is the search field. There are also three ways in which Twines can be found and they are: visual, list and detailed view. This also is relevant to Web3.0 as your and other Twines, can be looked up in a quick manner and it results in getting an answer or finding exactly what you want. The ‘explore’ feature provides users with the top Twines, and all existing Twines. It is believed that Web 3.0 will over time understand user’s personal preferences, and the produce results that match up with their likes and dislikes. Thus, when a user goes to Explore Twine, things that the user is interested in comes up first rather than making the user search through all of the Twines to find something they like.

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